OSF
open access
Risks of Using Large Language Models in Grading: LLMs and Humans Prefer LLM-Generated Writing Over Human’s but LLMs Show a Stronger Systematic Bias
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The TRIPOD-LLM reporting guideline for studies using large language models#359601
- Pass or Fail? Evaluating LLMs on Two Greek Examination Benchmarks#1129417
- Do Large Language Models Favour Any Research Topics?#819778
- Do Large Language Models Favour Any Research Topics?#809782
- Evaluating Large Language Models at Evaluating Instruction Following#16648
Record · ID 469672
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive